Subhodeep Moitra
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 7 papers; trusts 66 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 161 citations into it; #13,832 of 35,345 by trust here, #5,424 by citations
- Reinforcement Learning — 105 citations into it; #796 of 2,242 by trust here, #711 by citations
- Natural Language Processing — 40 citations into it
- Information Systems — 39 citations into it
- Management Science and Operations Research — 34 citations into it; #5,100 of 11,946 by trust here, #549 by citations
- Computer Vision and Pattern Recognition — 29 citations into it
- Computational Theory and Mathematics — 20 citations into it
- Economics and Econometrics — 16 citations into it
Whom Subhodeep Moitra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marc G. Bellemare
- Richard S. Sutton
- Geoffrey E. Hinton
- Will Dabney
- Oriol Vinyals
- Ilya Sutskever
- Yoshua Bengio
- Volodymyr Mnih
- Diederik P. Kingma
- R´emi Munos
Who trusts Subhodeep Moitra overall
- Rishabh Agarwal
- Pablo Samuel Castro
- Marc G. Bellemare
- William Fedus
- Danijar Hafner
- Mohammad Norouzi
- Ofir Nachum
- Kacper Kielak
- Michihiro Yasunaga
- Liam Li
Papers from Subhodeep Moitra's perspective
Ordered by how strongly the researchers Subhodeep Moitra trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Google Vizier: A Service for Black-Box Optimization (2017) — 846 citations
- Autonomous navigation of stratospheric balloons using reinforcement learning (2020) — 408 citations
- The Hanabi Challenge: A New Frontier for AI Research (2019) — 429 citations
- Distributional reinforcement learning with linear function approximation (2019) — 28 citations
- PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair (2021) — 29 citations
- Learning to Fix Build Errors with Graph2Diff Neural Networks (2019) — 70 citations
- Dopamine: A Research Framework for Deep Reinforcement Learning (2018) — 296 citations